Klinisk AI basert på fakta — ikke hallusinasjoner.
De fleste AI-skribenter skriver notater direkte fra et transkript og håper at modellen ikke improviserer. Notats patent-søkta FactsContext™-motor forstår først selve konsultasjonen: den trekker ut strukturerte kliniske fakta, genererer dokumentasjon fra disse faktaene, og viser deg de rå faktaene slik at du kan bruke dem som du vil. Den fungerer på tvers av reell flerspråklig pleie: taleopptak i over 99 språk og et produkt oversatt til 15 språk.
Forstår før den skriver
FactsContext™ skiller forståelse fra skriving. Det skillet er det som gjør dokumentasjonen pålitelig — og det som muliggjør hver eneste funksjon i etterkant.
1. Conversation
The encounter happens naturally. Notat listens ambiently — no dictation, no prompts, no screens between you and the patient.
2. Clinical facts
FactsContext™ extracts structured clinical facts from the conversation: symptoms, findings, medications, decisions, plans. Each fact is anchored to what was actually said.
3. Documentation
The note is generated from the extracted facts — never straight from a raw transcript. If a statement isn’t supported by a fact, it doesn’t belong in the note.
4. Review
You see the raw facts next to the note. Verify any sentence against its source, edit what you want, and sign with confidence. The clinician always remains in control.
Radikal åpenhet: du ser de rå faktaene
Tillit er ikke et løfte — det er noe du kan sjekke. Notat avdekker den strukturerte medisinske konteksten bak hvert notat, slik at spørsmålet «hvor kom denne setningen fra?» alltid har et svar.
The facts are yours
Notat shows you the raw extracted medical facts from every encounter — not just the polished note. Inspect them, verify the note against them, or reuse them however you please.
Every sentence is traceable
Because documentation is generated from structured facts, every statement in the note traces back to something that actually happened in the encounter.
Nothing invented
Transcript-direct AI fills gaps with plausible-sounding text. FactsContext™ is designed to reduce unsupported statements by only writing from verified clinical facts.
Alt bygget på én klinisk forståelse
Fordi FactsContext™ produserer strukturerte fakta — ikke bare et notat — sørger den samme forståelsen av konsultasjonen for at hver funksjon i plattformen får kraft.
Clinical notes
SOAP, H&P, progress notes — written from facts in your style.
ICD-10 coding
Code recommendations with the supporting evidence excerpt attached.
Referral letters
Generated from the same clinical understanding, not re-dictated.
Magic Edit
Rewrite, translate, or restructure — the facts stay the source of truth.
Patient instructions
Plain-language follow-up built from what was actually decided.
Evidence answers
Clinical questions answered in the context of the encounter facts.
Valider arkitekturen
FactsContext™ kobler metodikken for bevisføring, leverandør sammenligninger, ICD-10 dokumentasjon og flerspråklige arbeidsflyter tilbake til den samme fakta-først-arkitekturen.
Clinical AI evaluation
See the transparent methodology Notat uses to evaluate unsupported statements, fact coverage, and correction burden.
Åpne
Compare AI scribes
Review dated vendor comparisons across hallucination safeguards, languages, compliance, and EHR fit.
Åpne
ICD-10 evidence
Explore condition guides and code suggestions that attach evidence excerpts to recommended codes.
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Multilingual scribe
See 99+ spoken-language capture and translated workflows for cross-language care.
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Ofte stilte spørsmål
What is AI hallucination in healthcare documentation?
Hallucination is when an AI writes plausible-sounding statements that were never said or observed — an invented medication dose, a symptom the patient never reported, a plan that was never discussed. In clinical documentation, unsupported statements are a patient-safety and legal problem, not just a quality problem.
How does FactsContext™ reduce hallucinations?
Most AI scribes generate notes directly from a transcript, which lets the language model improvise. Notat’s patent-pending FactsContext™ engine works in two distinct stages: it first extracts structured clinical facts from the encounter, then generates documentation only from those facts. Statements without a supporting fact are designed not to appear in the note.
Can I see the facts behind my note?
Yes. Notat shows you the raw extracted medical facts alongside the generated note. You can verify any sentence against its source facts before signing, and reuse the facts for coding, referrals, or anything else.
Does the clinician still review the note?
Always. FactsContext™ makes review faster and safer because you can check the note against structured facts instead of re-listening or guessing — but you review and sign every note. The AI does the writing; you do the medicine.
Does FactsContext™ work in my language?
Yes. Notat supports spoken capture in 99+ languages through its AssemblyAI-powered speech layer, and the product is translated in 15 languages: English, Norwegian, Danish, Swedish, Finnish, Estonian, Dutch, German, Spanish, Italian, French, Arabic, Polish, Portuguese, and Hindi. The conversation, the extracted facts, and the final documentation can each be in different languages, including cross-language visits where the patient and the record don’t share a language.
Se faktaene bak ditt neste notat.
Ta opp en konsultasjon, se FactsContext™ trekke ut de kliniske faktaene, og les et notat du kan verifisere linje for linje. Du gjennomgår og signerer hvert notat — Notat gjør det bare utrolig enkelt.
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